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Optical flow captures the motion of pixels in an image sequence over time, providing information about movement, depth, and environmental structure.
Obstacle avoidance using flow field divergence
Randal C. Nelson and Jhon Aloimonos · 1989
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Elementary computation of object approach by a wide-field visual neuron
Nicholas Hatsopoulos, Fabrizio Gabbiani, and Gilles Laurent · 1995
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Honeybee navigation en route to the goal: visual flight control and odometry
Mandyam V Srinivasan, SW Zhang, M Lehrer, and TS Collett · 1996
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Optical flow based robot obstacle avoidance
Kahlouche Souhila and Achour Karim · 2007
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Time to contact relative to a planar surface
Berthold KP Horn, Yajun Fang, and Ichiro Masaki · 2007
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Visual flight control in naturalistic and artificial environments
Emily Baird and Marie Dacke · 2012
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A bio-inspired collision avoidance model based on spatial information derived from motion detectors leads to common routes
Olivier JN Bertrand, Jens P Lindemann, and Martin Egelhaaf · 2015
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Monocular distance estimation with optical flow maneuvers and efference copies: a stability-based strategy
Guido C H E de Croon · 2016
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Learning to fly by crashing
Dhiraj Gandhi, Lerrel Pinto, and Abhinav Gupta · 2017
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Cad2rl: Real single-image flight without a single real image, 2017
Fereshteh Sadeghi and Sergey Levine · 2017
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Voxblox: Incremental 3d euclidean signed distance fields for on-board mav planning
Helen Oleynikova, Zachary Taylor, Marius Fehr, Roland Siegwart, and Juan Nieto · 2017
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Optic flow-based collision-free strategies: From insects to robots
Julien R Serres and Franck Ruffier · 2017
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Proximal policy optimization algorithms, 2017
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Dronet: Learning to fly by driving
Antonio Loquercio, Ana I. Maqueda, Carlos R. del Blanco, and Davide Scaramuzza · 2018
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A bio-inspired collision detector for small quadcopter
Jiannan Zhao, Cheng Hu, Chun Zhang, Zhihua Wang, and Shigang Yue · 2018
Cited alongside, same era.
Gap perception in bumblebees
Sridhar Ravi, Olivier Bertrand, Tim Siesenop, Lea-Sophie Manz, Charlotte Doussot, Alex Fisher, and Martin Egelhaaf · 2019
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Robust and efficient quadrotor trajectory generation for fast autonomous flight
Boyu Zhou, Fei Gao, Luqi Wang, Chuhao Liu, and Shaojie Shen · 2019
Cited alongside, same era.
Fiesta: Fast incremental euclidean distance fields for online motion planning of aerial robots
Luxin Han, Fei Gao, Boyu Zhou, and Shaojie Shen · 2019
Cited alongside, same era.
Searching for mobilenetv3
Andrew Howard, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu, Ruoming Pang, Hartwig Adam, and Quoc Le · 2019
Cited alongside, same era.
Ego-planner: An esdf-free gradient-based local planner for quadrotors
Human-piloted drone racing: Visual processing and control
Christian Pfeiffer and Davide Scaramuzza · 2021
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Flightmare: A flexible quadrotor simulator
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, and Davide Scaramuzza · 2021
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Swarm of micro flying robots in the wild
Xin Zhou, Xiangyong Wen, Zhepei Wang, Yuman Gao, Haojia Li, Qianhao Wang, Tiankai Yang, Haojian Lu, Yanjun Cao, Chao Xu, et al · 2022
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Bumblebees display characteristics of active vision during robust obstacle avoidance flight
Sridhar Ravi, Tim Siesenop, Olivier J Bertrand, Liang Li, Charlotte Doussot, Alex Fisher, William H Warren, and Martin Egelhaaf · 2022
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Bubble planner: Planning high-speed smooth quadrotor trajectories using receding corridors
Yunfan Ren, Fangcheng Zhu, Wenyi Liu, Zhepei Wang, Yi Lin, Fei Gao, and Fu Zhang · 2022
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Xin Zhou, Zhepei Wang, Hongkai Ye, Chao Xu, and Fei Gao · 2020
Cited alongside, same era.
Upgrading optical flow to 3d scene flow through optical expansion
Gengshan Yang and Deva Ramanan · 2020
Cited alongside, same era.
Cuda, release: 10.2.89, 2020
NVIDIA, Péter Vingelmann, and Frank H.P. Fitzek · 2020
Cited alongside, same era.
Learning high-speed flight in the wild
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, and Davide Scaramuzza · 2021
Cited alongside, same era.
Optic flow-based reactive collision prevention for mavs using the fictitious obstacle hypothesis
Feng Xiao, Peter Zheng, Julien Di Tria, Basaran Bahadir Kocer, and Mirko Kovac · 2021
Cited alongside, same era.
Enhancing optical-flow-based control by learning visual appearance cues for flying robots
Guido Croon, Christophe De Wagter, and Tobias Seidl · 2021
Cited alongside, same era.
Raptor: Robust and perception-aware trajectory replanning for quadrotor fast flight
Boyu Zhou, Jie Pan, Fei Gao, and Shaojie Shen · 2021
Cited alongside, same era.
Jesus Tordesillas, Brett T. Lopez, Michael Everett, and Jonathan P. How · 2022
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Accommodating unobservability to control flight attitude with optic flow
Guido Croon, Julien Dupeyroux, Christophe De Wagter, Abhishek Chatterjee, Diana Olejnik, and Franck Ruffier · 2022
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Optic flow based spatial vision in insects
Martin Egelhaaf · 2023
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Nanoflownet: Real-time dense optical flow on a nano quadcopter
Rik J Bouwmeester, Federico Paredes-Vallés, and Guido CHE De Croon · 2023
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Back to newton’s laws: Learning vision-based agile flight via differentiable physics
Yuang Zhang, Yu Hu, Yunlong Song, Danping Zou, and Weiyao Lin · 2024
Closest in time.
Mavrl: Learn to fly in cluttered environments with varying speed, 2024
Hang Yu, Christophe De Wagter, and Guido C. H. E de Croon · 2024
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Optical flow-based control for micro air vehicles: an efficient data-driven incremental nonlinear dynamic inversion approach
Hann Woei Ho, Ye Zhou, Yiting Feng, and Guido C. H. E. de Croon · 2024
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Neuflow: Real-time, high-accuracy optical flow estimation on robots using edge devices
Zhiyong Zhang, Huaizu Jiang, and Hanumant Singh · 2024
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